SaaStr 883: The AEO Playbook: How to Get Picked by Agents (The Agents #017)

Agent-led growth transforms go-to-market operations by replacing manual processes with autonomous AI agents that handle inbound, outbound, and renewal workflows. Centralizing these activities into a unified "prospector" queue ensures consistent follow-up and enables agents to learn from historical first-party data, which significantly outperforms generic third-party signals. Successful implementation requires a stair-stepped approach, gradually increasing the agent's responsibilities as it matures. Furthermore, businesses must prioritize "Agent Engine Optimization" (AEO) by publishing verifiable facts—such as pricing, customer logos, and renewal metrics—rather than marketing opinions, as AI models prioritize objective data when making vendor recommendations. By leveraging specialized tools like Muse for persistent, scheduled tasks and competitor tracking, companies can maintain a competitive edge in an evolving landscape where AI agents increasingly dictate purchasing decisions.